Adaptive Wireless Sensor Network Routing Optimization
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Solution Overview
Problem
Existing wireless sensor networks face challenges in simultaneously reducing power consumption and data transmission time due to multiple hops, which current technologies fail to address effectively.
Innovation Solution
A method that detects temporal events in wireless sensor networks, identifies multiple paths from a source sensor node to a sink, and optimizes data packet distribution across these paths to minimize power consumption and transmission time using a processor-based algorithm.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If data is transmitted through multiple hops between sensor nodes, then the data can reach the sink from distant source nodes, but the transmission time increases and power consumption increases
Solution Approach 1:
The patent segments the data transmission path into multiple parallel hops through different sensor nodes, allowing data to be distributed across multiple routes simultaneously. This segmentation enables the system to overcome the time penalty of single-path multi-hop transmission by parallelizing the transmission process across multiple segmented paths.
Solution Approach 2:
The patent introduces a spatial dimension to data transmission by utilizing multiple geometric paths through the sensor network. Instead of transmitting along a single linear path, data packets traverse multiple dimensional routes through different sensor node sequences, effectively adding a spatial dimension to the transmission problem that reduces overall transmission time.
2Adaptability or versatility
If data is transmitted through multiple hops between sensor nodes, then the data can reach the sink from distant source nodes, but the power consumption increases
Solution Approach 1:
The patent segments the data stream into multiple packets that travel through different sensor node paths simultaneously. This segmentation distributes the power consumption burden across multiple nodes and paths rather than concentrating it on a single transmission path, thereby reducing the overall energy cost per unit of data transmitted.
Solution Approach 2:
The patent merges multiple transmission paths into a unified data delivery system where data packets can choose from multiple routes to reach the sink. By combining the capabilities of multiple paths, the system achieves more energy-efficient transmission by selecting and utilizing the lowest-cost paths while maintaining the ability to adapt to node failures or varying conditions.
3Ease of operation
If a single path is used for data transmission, then the routing is simple, but the transmission time and power consumption are not optimized
Solution Approach 1:
The patent implements dynamic path selection and data packet distribution where the routing decisions are made in real-time based on current network conditions. This dynamic approach allows the system to adapt to changing conditions such as node power levels, traffic load, and path availability, thereby optimizing transmission efficiency without requiring complex static routing tables or pre-computed paths.
Solution Approach 2:
The patent incorporates feedback mechanisms where sensor nodes report their status (power level, traffic load, path availability) to enable intelligent routing decisions. This feedback loop allows the system to continuously optimize the data transmission paths and packet distribution, achieving high transmission efficiency while maintaining operational simplicity through automated, condition-based routing decisions.
Data Source
AI summary
A method of routing data in a wireless sensor network, a program product and a wireless sensor network. The method, includes: (a) detecting a temporal event by a source sensor node of a wireless sensor network comprising a multiplicity of sensor nodes; (b) identifying multiple paths from the source sensor node to a sink of the wireless sensor network, the multiple paths consisting of sensor node to sensor node hops; and after (b), (c) using a processor of the source sensor node, optimizing a distribution of data packets to each path of the multiple paths by simultaneously reducing (i) power consumed by sensor nodes in each path of the multiple paths and (ii) a time to transmit the data packets from the source sensor node to the sink.